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OpenClaw

error-guard

System safety and control-plane skill that prevents agent deadlocks and freezes. Provides non-LLM control commands to inspect task state, flush message queues, cancel long-running work, and recover safely without restarting the container. Use when implementing or operating long-running tasks, sub-agents, benchmarks, background monitors (e.g., Moltbook, PNR checks), or when the system becomes unresponsive and needs immediate recovery controls.

amar14320 source installs☆ 0 Repository stars

Installation

Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.

SkillHub CLI

skillhub install amar1432/error-guard

Inspect the source and compatibility requirements, then follow its installation steps.

Give your agent the source link and ask it to inspect instructions and dependencies before explaining the installation steps.

View source ↗Guides

Skill instructions

error-guard

⚠️ System‑level skill (Advanced users)

This skill defines the control‑plane safety primitives for OpenClaw. It is intentionally minimal, non‑blocking, and designed to prevent agent freezes, deadlocks, and unrecoverable states when running long‑lived or high‑risk workloads.

Design Principles

Warning: This skill operates at the agent control‑plane level. It should be installed only by users who understand OpenClaw’s execution model and are running workloads that can block, hang, or run for extended periods.

  • Main agent never blocks: no long exec, no external I/O, no LLM calls.
  • Event-driven: workers emit events; the control plane listens.
  • Fail-safe first: recovery commands must always respond.
  • Minimal state: track only task metadata (never payloads).

Command Surface (Phase 1)

/status

Report current system health and task registry state.

Returns:

  • Active tasks (taskId, type, state)
  • Start time and last heartbeat
  • Flags for stalled or overdue tasks

Constraints:

  • Must run in constant time
  • Must not call any model or external API
/flush

Emergency stop.

Immediately:

  • Cancel all active tasks
  • Kill active exec/process sessions
  • Clear pending message queue
  • Reset in-memory task registry

Constraints:

  • Must always respond
  • No waiting on workers
  • No model calls
/recover

Safe recovery sequence.

Steps:

  1. Execute /flush
  2. Reset control-plane state
  3. Optionally reload skills/state (no container restart)

Future Extensions (Not Implemented Yet)

  • Sub-agent runner helper (event-driven)
  • Task watchdogs with TTL and silence detection
  • Structured event protocol (task.started, task.heartbeat, task.completed, ...)
  • Back-pressure and task classes (interactive / batch / background)

Security & Privacy

  • This skill does not store payloads, prompts, messages, or model outputs
  • Only minimal task metadata is persisted (taskId, timestamps, state)
  • No API keys, credentials, or u...

Source information

Source
github
Repository
openclaw/skills
Path
skills/amar1432/error-guard
Version
—
Commit
593132535473686d8f200e43da9b1fdb4d065b65
Classification source
rules
Status
active
Visibility
public

These signals come from indexed source analysis and may lag behind changes. Check the current source files.

Extracted content

SKILL.md
# error-guard

⚠️ **System‑level skill (Advanced users)**

This skill defines the **control‑plane safety primitives** for OpenClaw.
It is intentionally minimal, non‑blocking, and designed to prevent agent freezes, deadlocks, and unrecoverable states when running long‑lived or high‑risk workloads.

## Design Principles

> **Warning:** This skill operates at the agent control‑plane level.
> It should be installed only by users who understand OpenClaw’s execution model and are running workloads that can block, hang, or run for extended periods.

- **Main agent never blocks**: no long exec, no external I/O, no LLM calls.
- **Event-driven**: workers emit events; the control plane listens.
- **Fail-safe first**: recovery commands must always respond.
- **Minimal state**: track only task metadata (never payloads).

## Command Surface (Phase 1)

### /status

Report current system health and task registry state.

Returns:
- Active tasks (taskId, type, state)
- Start time and last heartbeat
- Flags for stalled or overdue tasks

Constraints:
- Must run in constant time
- Must not call any model or external API

### /flush

Emergency stop.

Immediately:
- Cancel all active tasks
- Kill active exec/process sessions
- Clear pending message queue
- Reset in-memory task registry

Constraints:
- Must always respond
- No waiting on workers
- No model calls

### /recover

Safe recovery sequence.

Steps:
1. Execute `/flush`
2. Reset control-plane state
3. Optionally reload skills/state (no container restart)

## Future Extensions (Not Implemented Yet)

- Sub-agent runner helper (event-driven)
- Task watchdogs with TTL and silence detection
- Structured event protocol (task.started, task.heartbeat, task.completed, ...)
- Back-pressure and task classes (interactive / batch / background)

## Security & Privacy

- This skill **does not** store payloads, prompts, messages, or model outputs
- Only minimal task metadata is persisted (taskId, timestamps, state)
- No API keys, credentials, or u...

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